If you switched to Google Analytics 4 (GA4) after using the old version (Universal Analytics) and thought "I have no idea where anything is anymore" — you're not alone. GA4 is a genuinely significant redesign. Things that used to be easy are now buried. Some things that used to exist don't anymore.
This guide focuses on what actually matters for understanding your marketing performance, and ignores the 80% of GA4 that most people will never need.
First: why did Google change everything?
Universal Analytics (the old version) was built around "sessions" — every time someone visited your site, that was a session. The core unit of measurement was the session.
GA4 is built around "events" — every action a user takes (page view, button click, form submission, scroll, video play) is an event. This makes GA4 more flexible for tracking complex user behavior, and it works better across both websites and mobile apps from the same interface.
The downside: the shift from sessions to events means that reports that used to be obvious (Audience → Overview → show me how many people visited my site this week) now require more navigation, and many familiar metrics have been renamed or restructured.
The three reports you'll actually use
1. Reports → Acquisition → Traffic Acquisition
This is the most important report for marketers. It shows you where your visitors came from — which channels, which sources, and which campaigns.
By default, it groups traffic into channels like "Organic Search," "Direct," "Paid Social," "Email," etc. Click into any channel to see the specific sources within it.
If you've set up UTM parameters on your campaign links, those campaigns will appear here with the exact labels you set. A link with utm_campaign=july_newsletter will show up as its own row, so you can see exactly how many people visited from that specific email.
This is why UTM parameters matter so much. Without them, a lot of your traffic just falls into "Direct" and you can't tell which campaigns drove it.
2. Reports → Engagement → Pages and screens
This shows you which pages on your site get the most traffic and how long people spend on each one. Two metrics to pay attention to:
- Views — total page views for that URL
- Average engagement time — how long the average visitor actually spent on the page (not counting time when the tab was in the background)
Pages with high views but very low engagement time are ones people are landing on and immediately bouncing from — worth investigating whether the content matches what they expected.
3. Reports → Monetization → (if you have ecommerce set up)
If you've set up ecommerce tracking in GA4, this shows you revenue, purchase count, average order value, and which products are being purchased. If your store is on Shopify, most GA4 ecommerce data connects automatically.
The metric that replaced "Bounce Rate"
Old GA had bounce rate: the percentage of sessions where someone visited only one page and left. A high bounce rate usually indicated a problem.
GA4 replaced this with Engagement Rate: the percentage of sessions that were "engaged" — meaning the session lasted longer than 10 seconds, the user viewed multiple pages, or they completed a conversion event.
Engagement rate is essentially the inverse of bounce rate (Engagement Rate + Bounce Rate = 100%). A 70% engagement rate = a 30% bounce rate in old terminology. Higher engagement rate is better.
Why "Direct" traffic is so large
In most GA4 accounts, "Direct" traffic is one of the biggest sources — often 30–50% of all visits. This almost always seems too high.
Direct traffic in GA4 means: GA4 couldn't identify a referring source. The user arrived without any trackable referrer. This happens when:
- Someone types your URL directly
- Someone clicks a link in WhatsApp, iMessage, or another app that strips referrers
- Someone clicks from an email client that doesn't pass referrers (Apple Mail on iPhone is a common one)
- Someone has an ad blocker that prevents GA4 from loading at all
The way to shrink your "Direct" bucket is to use UTM parameters on every link you share — in emails, SMS, social posts, and everywhere else. The UTM tags travel inside the URL itself and get logged regardless of what the browser does with the referrer.
See our guide on How to Track Marketing Campaigns for the step-by-step setup.
The GA4 data gap: what it's missing
GA4 only captures sessions where its JavaScript code successfully fires in the user's browser. If a user has an ad blocker, GA4 doesn't load and the session isn't recorded.
This typically means GA4 is missing 20–40% of your actual traffic, depending on how many of your visitors use ad blockers or privacy browsers.
The way to get a more complete picture is to layer in server-side click tracking on your links — data that's collected before the user's browser gets involved. gometrify does this automatically for every link you create. When you compare your gometrify click count to your GA4 session count from the same link, the gap tells you your exact analytics blind spot.
Create a free gometrify account → to start comparing your real click data with what GA4 is reporting.
Setting up a basic GA4 dashboard
Rather than going into different reports every time you want a quick overview, set up an exploration or a dashboard:
In GA4, go to Explore in the left nav. This is where you build custom reports. Create a simple table with:
- Dimensions: Session source / medium
- Metrics: Sessions, Engaged sessions, Conversions (if you have them set up)
Save this as a named exploration. Now you have a single report that shows all your traffic sources and their performance in one place — similar to what the Acquisition Overview used to show in Universal Analytics.
It takes about 10 minutes to set up once and saves time every time you check your analytics after that.